Skip to main content

Anton Ovchinnikov

Professor & Distinguished Professor of Management Analytics

Overview

Anton Ovchinnikov is a Distinguished Professor of Management Analytics at Smith School of Business in Kingston, Canada. His research interests include, on the theoretical side, behavioral operations, revenue management and environmental sustainability. On the applied side, he studies data-driven applications in business, government and nonprofit sectors.

Download Full CV Download Image

Academic Area

  • Management Analytics
  • Operations Management and Technology
  • Sustainability

Interest Topics

Faculty Details

Profile

Full Bio

Anton Ovchinnikov is a Distinguished Professor of Management Analytics at Smith School of Business in Kingston, Canada.

His research interests include, on the theoretical side, behavioral operations, revenue management and environmental sustainability. On the applied side, he studies data-driven applications in business, government and nonprofit sectors.

Anton’s work has been published in the leading academic journals. One of his academic papers was recognized as the finalist of the 2009 Junior Faculty Best Paper Competition held by the Institute of Operations Research and Management Sciences (INFORMS), and his applied work was recognized as the finalist in the 2014 INFORMS Revenue Management and Pricing section Practice Prize. In 2015 Anton received the Paul Kleindorfer Award in Sustainability from the Production and Operations Management Society (POMS) for his work on sustainable operations. His case studies also won several awards, including the 2005 and 2011 INFORMS Case competitions. Anton organized several conferences and is on the editorial review boards of two leading operations management journals; his contributions to the academic community also received multiple service awards.

Prior to joining Smith, Anton taught data and decision analysis courses at the University of Virginia, management science and supply chain management courses at the University of Toronto, as well as in multiple executive educations programs around the world. He holds a specialist degree in economics from his hometown university in Krasnoyarsk, Russia, and a PhD in operations management from the University of Toronto.

Before starting his academic career, he worked in Germany, the Netherlands and Russia in the area of commercializing high-tech developments and co-owned a business in industrial and architectural design.

Academic Degrees

PhD in Operations Management
Joseph L. Rotman School of Management, University of Toronto (2007)

Diploma in Economics and Business
Erasmus University Rotterdam (1999)

Diploma of Higher Education in International Business
Department of Economics, Krasnoyarsk State University (1997)

Academic Experience

Smith School of Business, Queen's University
Professor of Management Analytics (2021 - Present)
Distinguished Professor of Management Analytics (2015 - Present)
Associate Professor of Management Science and Operations Management (tenured) (2014-2021)

Darden School of Business, University of Virginia
Assistant Professor of Quantitative Analysis area (tenure-track) (2007-2014)

Publications

Refereed Publications

“Customization and Returns” with Gokce Esenduran and Paolo Letizia. (2022) Management Science [Fast Track] 68 (6) 4517-4526

  • Popular press articles about this paper:
    • “Whose Customized Products Can Be Returned?” Harvard Business Review, 100 (7-8), 32
    • “Why You Should Allow Returns on Customized Products” Harvard Business Review, March 2022
    • “The Trouble With Online Shopping Returns” Smith Business Insight, April 12, 2021

“Anti-Discrimination Laws, AI and Gender Bias” with S. Kelley, D. Hardoon and A. Forthcoming in Manufacturing & Services Operations Management [special issue on Responsible Research in Operations Management]

  • Popular press articles about this paper:
    • “AI Bias: When Antidiscrimination Laws Turn Sour” Smith Business Insight, June 28, 2022

“Pandemic Lock-down, Isolation, and Exit Policies Based on Machine Learning Predictions” with Evgeniou, M. Fekom, R. Porcherd, C. Pouchole, and N. Vayatis. Forthcoming in Production and Operations Management [special issue on Managing Pandemics]

  • Popular press articles about this paper:
    • “A national health data infrastructure could manage pandemics with less disruption” The Conversation, Aug 16, 2020
    • “To Fight Pandemics, Take the Netflix Approach” Smith Business Insight, Aug 11, 2020
    • “Leveraging AI to Battle This Pandemic — And The Next One” with T. Evgeniou and D. Hardoon Harvard Business Review, April 2020

“Epidemic Models for COVID-19 during the First Wave from February to May 2020: a Methodological Review” (2021) with M. Garin, M. Limnios, A. Nicolaï, I. Bargiotas, O. Boulant, Chick, A. Dib, T. Evgeniou, M. Fekom, A. Kalogeratos, C. Labourdette, R. Porcher, C. Pouchol and N. Vayatis. arXiv:2109.01450

“SEAIR Framework Accounting for a Personalized Risk Prediction Score: Application to the Covid- 19 Epidemic” (2020) with O. Boulant, T. Evgeniou, M. Fekom, R. Porcherd, C. Pouchole, and Vayatis. Image Processing On Line 10 (2020 150-166)

“The Impact of Inventory Risk on Market Prices Under Competition” with Hubert Pan and Gal Raz. Forthcoming in Decision Sciences Journal. 

“Strategic Consumers, Revenue Management, and the Design of Loyalty Programs” with S.Y. Chun. (2019) Management Science 65(9) 3969-3987

  • Popular press articles about this paper:
    • “Optimal Design of Loyalty Programs” INSEAD Knowledge, August 2, 2019
    • “Who’s Afraid of the Strategic Consumer?” Smith Business Insight, July 27, 2018
    • “Why Loyalty Programs Based on Consumer Spending Can Be a Win-Win” by Palmquist strategy+business, December 10, 2015
    • “Customer-Friendly Skies” by Lubell, Georgetown Business Magazine, Fall 2015

“Behavioral Ordering, Competition and Profits: An Experimental Investigation” with Brent Moritz and Bernie Quiroga. (2019) Production and Operations Management, 28(9), 2242-2258

  • Popular press articles about this paper:
    • “Why You Can’t Be Trusted to Restock Your Shelves” Smith Business Insight, July 23, 2019
    • “Managerial Biases Cost Your Firm More Than You Think” INSEAD Knowledge, December 11, 2019

“Heterogeneity of Reference Effects in Competitive Newsvendor Problem” with Sam Kirshner. (2019) Manufacturing & Services Operations Management 21(3) 571-581

“Dynamic Pricing in the Presence of Myopic and Strategic Consumers: Theory and Experiment” (2018, former title “Strategic Consumers, Myopic Retailers”) with Mirko Kremer and Benny Mantin. Production and Operations Management, 26(1), 116-133

  • Popular press article about this paper:
    • “Finding Retail Profit in Delayed Gratification” Smith Business Insight, Feb 23, 2017

“Behavioral Anomalies in Consumer Wait-or-Buy Decisions and Their Implication for Markdown Management” with Manel Baucells and Nikolay Osadchiy. (2017) Operations Research, 65(2), 357-378.

  • Popular press articles about this paper:
    • “Customer Focused Retail Strategy”, IEDP Editorial, July 28, 2016
    • “Markdown Management: In Pursuit of the Optimal Discount” Darden Ideas to Action, Oct 7, 2016
    • “Markdowns: Decoding the Nuances of Consumer Behaviour” Smith Business Insight, Dec 29, 2016

“Economic, Environmental and Social Assessment of Remanufacturing in a Competitive Setting” with Gal Raz and Vered Blass. (2017) IEEE Transactions on Engineering Management, 64(4), 476-490

“How to Compete against a Behavioral Newsvendor” with Brent Moritz, and Bernie Quiroga. (2015) Production and Operations Management, 24(11), 1783-2973

  • Popular press article about this paper:
    • “Out-Stocking Your Competitor”, QSB Insight, July 3, 2015

“Coordinating Pricing and Supply of Public Interest Goods Using Government Rebates and Subsidies” with Gal Raz. (2015) IEEE Transactions on Engineering Management, 62 (1), 65-79

  • Popular press article about this paper:
    • “Tweaking incentives could aid the adoption of electric vehicles” The Washington Post, February 20, 2015

“Balancing Acquisition and Retention Spending for Firms with Limited Capacity” with Beatrice Boulu-Reshef and Phil Pfeifer. (2014) Management Science, 60 (8), 2002–2019

“Economic and Environmental Assessment of Remanufacturing Strategies for Product+Service Firms”, with Vered Blass and Gal Raz. (2014) Production and Operations Management 23(5) 744-761

  • Popular press article about this paper:
    • “Bringing new life to an old phone” The Washington Post, May 29, 2015

“Environmental Taxes and the Choice of Green Technology”, with Dmitry Krass and Timur Nedorezov. (2013) Production and Operations Management 22(5), 1035-1055 [Lead article]

“Revenue Management with End-of-Period Discounts in the Presence of Customer Learning”, with Joseph Milner. (2012) Production and Operations Management 21(1), 69-84

“Revenue and Cost Management for Remanufactured Products.” (2011) Production and Operations Management 20( 6), 824-840 [Finalist, INFORMS JFIG Best Paper Competition]

“A Note on Willingness to Spend and Customer Lifetime Value for Firms with Limited Capacity”, with Phil Pfeifer. (2011) Journal of Interactive Marketing 25 (3), 178-189

“Constrained Group balancing: Why Does it Work”, with Dmitry Krass. (2010) European Journal of Operational Research 206(1) 144-154

“Spreadsheet Model Helps to Assign Medical Residents at the University of Vermont’s College of Medicine”, with Joseph Milner. (2008) Interfaces 38(4) 311-323

“The University of Toronto’s Rotman School of Management Uses Management Science to Create MBA Study Groups”, with Dmitry Krass. (2006) Interfaces 36(2) 126-137

Practitioner-Oriented Articles (excluding Case Studies)

“AI Bias: When Antidiscrimination Laws Turn Sour” Smith Business Insight, June 28, 2022

“Mind the Inventory Risk: Price Paradox Under Competition” INSEAD Knowledge, June 6, 2022

“Whose Customized Products Can Be Returned?” Harvard Business Review, 100 (7-8), 32

“Why You Should Allow Returns on Customized Products” Harvard Business Review, March 2022

“The Trouble With Online Shopping Returns” Smith Business Insight, April 12, 2021

“A national health data infrastructure could manage pandemics with less disruption” The Conversation Canada, Aug 16, 2020 

“To Fight Pandemics, Take the Netflix Approach” Smith Business Insight, Aug 11, 2020

“What Happens When AI is Used to Set Grades?” with T. Evgeniou and D. R. Hardoon Harvard Business Review, August 2020  o Popular press coverage: Business Times (Singapore), The Standard (Hong Kong), NewsTalk, Academica (Canada)

“Leveraging AI to Battle This Pandemic — And The Next One” with T. Evgeniou and D. R. Hardoon

Harvard Business Review, April 2020

  • Chinese version: https://www.hbrchina.org/2020-05-13/8046.html 
  • Russian version: https://hbr-russia.ru/innovatsii/tekhnologii/830531 
  • French version: https://www.hbrfrance.fr/chroniques-experts/2020/07/30697-lintelligenceartificielle-au-service-de-la-lutte-contre-la-pandemie-actuelle-et-la-suivante/ 
  • Popular press coverage: FT/Sifted, Challenges – France, Le Parisien, Business Times (Singapore), The Edge (Singapore), Yahoo Finance, Maeil (Korea) 

 “Balancing Data Policies: What COVID-19 Taught Us” with T. Evgeniou and D. R. Hardoon United Nations Development Program (UNDP) blog, May 2020.

“Managerial Biases Cost Your Firm More Than You Think” INSEAD Knowledge, December 11, 2019

“Optimal Design of Loyalty Programs” INSEAD Knowledge, August 2, 2019

“Who’s Afraid of the Strategic Consumer?” Smith Business Insight, July 27, 2018 

“Why You Can’t Be Trusted to Restock Your Shelves” Smith Business Insight, July 23, 2019

Popular press article about this paper: “Finding Retail Profit in Delayed Gratification” Smith Business Insight, Feb 23, 2017 

“Markdowns: Decoding the Nuances of Consumer Behaviour” Smith Business Insight, Dec 29, 2016 

“Markdown Management: In Pursuit of the Optimal Discount” Darden Ideas to Action, Oct 7, 2016

“Customer Focused Retail Strategy”, IEDP Editorial, July 28, 2016

“Why Loyalty Programs Based on Consumer Spending Can Be a Win-Win” by Palmquist  strategy+business, December 10, 2015

“Customer-Friendly Skies” by Lubell, Georgetown Business Magazine, Fall 2015

“Bringing new life to an old phone” with Gal Raz and Vered Blass (2015) The Washington Post, May 29, 2015

“Tweaking incentives could aid the adoption of electric vehicles” with Gal Raz (2015) The Washington Post, February 20, 2015

“Pitched roofs or math — what matters for solar?” (2013) The Washington Post, June 14, 2013 

“Reduce, Reuse, Recycle…or Rethink”, with Tim Laseter and Gal Raz (2010) strategy+business 61, 28-32

Book Chapters, Non-Refereed and Popular Press Publications

“Customer Lifetime Value and Fund Transfer Pricing” with Meisam Soltani-koopa, Hootan Kamran Habibkhani and Mikhail Nediak, forthcoming in Precision Retailing, eds. M. Cohen, L. Dube and N. Yang

“Incorporating Consumer Behavior into Operational Decisions” (2018) in the Handbook of Behavioral Operations, eds. Donohue K., Katok E. and S. Leider, Willey 

“Green Technology Choice” (2017) in Sustainable Supply Chains. Eds. Bouchery Y., Tan T., Fransoo J., C. Corbett, Springer International Publishing

“The Wait or Buy Game: How to Game the System That’s Designed to Game you Back” (2015) in Handbook of Behavioral Operations Management: Social and Psychological Dynamics in Production and Service Settings. Eds. Bendoly E., Van Wezel W. and D. G. Bacharach. Oxford University Press 

Working Papers

 

“Competitive Industry's Response to Environmental Tax Incentives for Green Technology Adoption” with Dmitry Krass. Under review in Operations Research.

“Which Customers are More Valuable in Dynamic Pricing Situations?” with Jue Wang. Under revision for Manufacturing & Services Operations Management.

“Quantifying Mileage-Runs: Empirical Investigation of Strategic Consumer Behavior in Premium Status Loyalty Programs” with Yang Chan. Under revision for Management Science.

“Guiding Managers Through Planning Advanced Analytics (“AI”) Projects” with Ilia Tsetlin. Under revision for California Management Review.

“Does Size Matter for Loyalty Reward Redemption” with Yang Chen and Nicole Robitaille. In preparation for submission to Management Science.

Work in Progress

“Operational Challenges in Distributed Manufacturing: Managing a Virtual Factory in Kenya” with Victor Araman and Andre Calmon.

“When Should an Entrepreneur Hire the First Employee: Experimental Analysis” with Beatrice Boulu-Reshef, Denis Degtyarev and Charles Corbett.

“Explainable Ai for Employees: Loan Officer Preferences and Profitability Implications for Firms” with Stephanie Kelley and Adrienne Heinrich

“Randomness and Correlations in Willingness-to-Pay for Remanufactured Products” with Sheh Tauqeer.

“Empirical Investigation of Strategic Buyer and Seller Behavior in the Wait-or-Buy Game.”

“Trade Credit and Lifetime Value of a Newsvendor Buyer” with Meisam Soltani-koopa, Yuri Levin and Mikhail Nediak

“Optimization of Risk Weighted Assets: Algorithms and Insights” with Xianfeng Meng, Ilia Tsetlin, Daria Drik and Maria Ryzhikova

“Selling and Renting Mechatronics (Digitally Controlled Physical Goods)” with Xianfeng Meng and Guang

“Pricing and Returns in the Era of Big Tech: Implications of Information Asymmetry Reversal” with Kiarash Hassani and Murray Lei

Ongoing work with Xianfeng Meng, Guang Li, Murray Lei and Sumit Kunnumkal, title TBD

Ongoing work on Human-AI collaborations with Tracy Jenkin, Cecilia Ying and Stephanie Kelley, title TBD

Teaching

Teaching Experience

  • INSEAD GEMBA “Data Science (and Machine Learning) for Executives”, 2018-22, Student evaluations: ~ 4.3-4.7/5
  • INSEAD MBA “Data Science for Managers”, 2018-22, Student evaluations: 4.1-4.8/5
  • INSEAD MBA “Pricing Analytics”, 2017-22, Student evaluation: ~4.2-4.7/5
  • Queen’s MBA “Pricing Analytics” (formerly, “Dynamic Pricing and Revenue Management”), 2015, 17-21 Student evaluations: 4.2-4.8/5
  • Queen’s MMA “Predictive Modeling”, 2018-21, Student evaluations: ~4.8/5
  • Queen’s MMA/GMMA “Operations and Supply Chain Analytics”, 2015-21 Student evaluations: ~4-4.3/5
  • INSEAD MBA “Decision Models” (formerly, “Models for Strategic Planning”), 2016-18, Student evaluation: 4.3-4.7/5
  • Queen’s BCOMM “Intro to Operations Management”, Fall 2014. Student evaluations: ~4.2/5
  • MBA and EMBA Core “Decision Analysis” Darden School of Business: Fall 2006-09, Winter 2007, 08, Summer 2009 -13. Student evaluations: 4.5 - 4.7/5
  • MBA Elective “Data Analysis and Optimization”. Darden School of Business: Spring 2010 -13. Student evaluations: 4.5 - 4.8/5
  • SYS Elective “Business Decision Analysis”, UVA Accelerated Masters Program in Systems Engineering, Spring 2007-13. Student evaluations: 4.5 - 4.9/5 
  • MBA Elective “Management Science.” Rotman School of Management: Fall 2004, -05. Student evaluations: 6.3/7

Executive Education

  • “Data-driven Decision Making”, INSEAD custom ExecEd, 2018-22, Student evaluations: 4.8-4.95/5
  • “Advanced Analytics for Legal Professionals” Queen’s custom ExecEd 2020-22, Evaluations: N/A
  • “Customer Analytics”, Queen’s custom ExecEd. 2015-18, Student evaluations: ~4 – 4.9/5
  • “Operations and Supply Chain Analytics”, Queen’s custom ExecEd. Fall 2015, 2016 Student evaluations: ~4.5 / 5
  • “Business Model Innovation”, 2013-14, KIBS program, Darden. Student evaluations: ~ 4.6 / 5.
  • “Supply Chain Management”, 2003 – 2006 at Rotman, 2011-12 at Moscow State University (Russia), in Russian. Student evaluations: ~ 4.5-5/5.
  • Faculty leader for the Unilever custom program, Darden, USA, Russia, China, 2008-10

Teaching Materials: Cases and Teaching Notes

2017-22 yr average sales:~17,000

 

  • “Timeshare Exchange Fair” with Scott Sampson and Dmitry Krass, UVA-QA-0709, 0710. [Winner, INFORMS 2005 Case Competition]
  • “Crawford Development Co. and Southeast Bank of Texas”, with Elena Loutskina, UVA-QA-0727.
  • “c-Energy’s Red Hill plant: Meeting the SO2 challenge”, UVA-QA-0726.
  • “Flora (A), (B)”, with Sam Bodily, UVA-QA-0754. [Winner, INFORMS 2011 Case Competition]
  • “Bloomex.ca Logistics Optimization”, with Sam Bodily, UVA-QA-0760
  • “R&D Project Selection at NorthBancTec Inc,” UVA-QA-0762
  • “The IQ Experiment”, with Phil Pfeifer, UVA-QA-0770
  • “Nils Baker”, with Phil Pfeifer, UVA-QA-0793
  • “Wells Fargo: Solar Energy for Los Angeles Branches” (A) and (B), with Anastasia Hvaleva, UVAQA-800, 801
  • “Predicting Customer Retention at QWE Inc.”, UVA-QA-0806
  • “Global Warming Revisited” (A) and (B), UVA-QA-0808, 809
  • “Chevy Volt: Pricing and Capacity Decisions in Response to Government Incentives for the Electric Vehicle Industry”, with Gal Raz and Allison Elias UVA-OM-1519
  • “Outsourcing, Near-sourcing and Supply Chain Flexibility in Apparel Industry” (A) and (B), with Alexander Pyshkov, UVA-QA-0854, 855 + Teaching note with spreadsheets and R code.
  • “Retention Modeling at Scholastic Travel Company” (A) and (B), UVA-QA-0864, 865 + Teaching note with R code. The case is also available in Russian.
  • “Private Banking Advisers at BCB Edmonton” (A), (B) and (C), UVA- QA-0905, 06, 07 + Teaching note with spreadsheets, Tableau workbooks, and Python code. The case is also available in Russian.
  • “Presenting Banking Products” + Teaching note with spreadsheets, Tableau workbooks, and Python code. The case is also available in Russian. With Ilia Tsetlin, INSEAD 6620
  • “Analytics and Strategy Vignettes” + Teaching note with spreadsheets, Tableau workbooks, and Python code. The vignettes are also available in Russian. With Ilia Tsetlin, INSEAD 6626
  • “Unethical AI: The 2020 International Baccalaureate Grading Scandal”, UVA-QA-0919
  • “Integration Planning at SFB” (A), (B) and (C) + Teaching note with spreadsheets, Solver models, and Python code. With Georgina Hall and Piyush Gulati. INSEAD 6684 [Winner, INFORMS 2021 Case Competition]
  • “Credit Default Modeling at Taiwan International Bank” with Spyros Zoumpoulis. INSEAD 6772
  • “Optimization of Risk Weighted Assets: Algorithms and Insights” with Ilia Tsetlin, Daria Drik and Maria Ryzhikova. INSEAD 6721

Teaching Materials: Online Simulations, Tutorials and Technical Notes

 

  • Technical note: "Modeling Discrete Choice: Categorical Dependent Variables, Logistic Regression and Maximum Likelihood Estimation," UVA-QA-0779. The note is also available in Russian.
  • Technical note / Tutorial: "Spreadsheet Modeling Exercises," with Phil Pfeifer, UVA-QA-0775
  • Technical note: “Using Binary Variables to Represent Logical Conditions in Optimization Models,” UVA-QA-0786. The note is also available in Russian.
  • Online simulation: “Wait-or-buy Game,” UVA-QA-0729; redesign in 2020
  • Online simulation: “Opera House Simulation” (revenue management with lifetime value considerations)
  • Online tutorial: “Steps in Building a Crystal Ball Decision Model”
  • Online simulation: “Autonomous Vehicles Alliance Game”, 2020
  • Online simulation: “Markdown Management in Retail”, 2020

Teaching Materials: Work in Progress

  • Case: “Victory Farms: Data Science and Machine Learning Opportunities in Agriculture 4.0 in Africa” with Spyros Zoumpoulis
  • Teaching note: “Unethical AI: The 2020 International Baccalaureate Grading Scandal” with Stephanie Kelley, in preparation

Visiting Positions

Visiting Professor of Decision Sciences and Technology and Operations Management
INSEAD
2016 - Present

Student Supervision

Queen’s MSc: Gaganpreet Singh (2015), Sheharyar Tauqeer (2016), Melanie Adler (2017), Xianfeng Meng (2019, cont. to PhD), Kiarash Mohammad Hassani (2019, cont. to PhD)

Queen’s PhD: Yang Chen (2016 – present), Xianfeng Meng (2019 – present), Kiarash Mohammad Hassani (2019 – present)

Research

Interests

My research interests are in Management Analytics (Management Science and Operations Management), and particularly in its intersection with Marketing and Economics. On the theoretical side these include models of strategic behavior of consumers and firms, innovative operations, and environmental sustainability, and on the applied – data driven decision making in business, government, and non-profits.

Presentations

Invited Conference Talks

 

2022: Winter Ops. Conf., POMS, CORS, Behavioral Ops. Conf., MSOM, INFORMS, DSI, HBS AI ML conference, Simons Institute @ UC Berkeley

2021: POMS, CORS, INFORMS

2020: POMS, INFORMS

2019: RMP, MSOM, Behavioral OM Conference, INFORMS

2018: POMS, RMP, EURO

2017: Behavioral OM conference

2016: BOM Handbook workshop, POMS, CORS, INFORMS

2015: POMS, EURO, INFORMS, Chinese workshop on BOM (keynote)

2014: POMS, RMP, Behavioral OM conference, M&SOM, World Remanufacturing Summit, CLSC workshop (INSEAD), INFORMS

2013: INFORMS, POMS sustainability mini-conference and main conference, M&SOM Supply chain SIG and main conferences, EURO/INFORMS, Behavioral OM conference, Winter Operations Conference

2012: INFORMS, POMS sustainability mini-conference and main conference, EURO

2011: INFORMS, POMS, Behavioral OM conference

2010, 2009: INFORMS, POMS, EURO, Behavioral OM conference

2008: INFORMS, POMS, EURO, Behavioral OM conference

2007: INFORMS, CORS, EURO, Revenue Management and Pricing conference

2006: INFORMS, Revenue Management and Pricing conference

2005: INFORMS

 

Other Invited Talks

Research Visits/Talks

Purdue Krannert School (2022), Baruch College, CUNY (2020), Indian School of Business, Singapore Management University, University of Toronto (2019) Università della Svizzera italiana, Nanyang Technological University (2018) University of Tennessee, HEC Paris, Cambridge Judge (2017) INSEAD Europe, Frankfurt School of Banking and Finance, Melbourne Business School, Australian Graduate School of Management (2016) Emory, INSEAD Singapore, NUS, HKUST, Cornell, NYU, USC Marshall (2015), Michigan Ross, Ivey, Queens, University of Calgary, ESSEC, University of Pittsburgh (2014), UT Dallas, London Business School, University College London (2013), University of Toronto (2012, 2010, 2008), UCLA (2011), Pennsylvania State University (2010), University of Waterloo (2010), Queens University (2009) 

 

Practitioner-Oriented Talks

“Strategic Consumers, Revenue Management, and the Design of Loyalty Programs” at the inaugural Scotiabank Center of Customer Analytics workshop, Toronto (2016) TEDx Talk, “Three Trends in Business and Society That Are Changing the Way We Live” http://www.youtube.com/watch?v=wJI75W3-C7k (in Russian with English subtitles) (2012)

Awards

Awards & Honours

 

  • Winner, INFORMS Case Competitions, 2005, 2011, 2021
  • (Inaugural) Director of Research, Analytics and AI, Smith School of Business, Queen’s University
  • Co-winner, INFORMS UPS George D. Smith Prize, 2020
  • Faculty of the Year Award 2020, Smith Master in Management Analytics (MMA), 2020S and 2020W
  • Co-PI, 2017-21-24 Canada NSERC CRD. Grant amount: ~CAD$1,800,000
  • Winner, Smith School of Business Research Excellence Award, 2018
  • PI, Canada SSHRC grants in 2015, 17, 19, totaling ~CAD$220,000
  • Scotiabank Scholar of Customer Analytics, 2016-present
  • Winner, 2015 POMS Paul Kleindorfer Award in Sustainability
  • Finalist, INFORMS Revenue Management and Pricing section Practice Award, 2014
  • Finalist, INFORMS Junior Faculty Interest Group’s Best Paper Competition, 2009
  • Excellence in Teaching Award, 2005, 2006, Rotman School of Management, University of Toronto

Grants & Funding

  • Co-applicant, NSERC CRD Grant 2018-21, ~CAD$1,800,000
  • Co-applicant, SSHRC Idea Generation Grant 2019-23, ~CAD$80,000
  • Principal investigator, SSHRC Idea Generation Grant 2015-17, SSHRC Insight Grant 2018-22, ~CAD$130,000
  • Batten Institute research grant 2014 and 2015, US$20,000
  • 3M non-tenured faculty research grant, 2008-10, US$45,000

Service

Academic Service

  • Ad-hoc Associate Editor at Management Science, 2020 – present
  • Ad-hoc Senior Editor at Production and Operations Management, 2020-present
  • Editorial Review Board Member for the Production and Operations Management, Behavioral Operations Department, 2010 – present
  • Editorial Review Board Member for the Journal of Operations Management, 2012 – present
  • Management Science Distinguished Service Award, 2016
  • M&SOM Meritorious Service Award, 2013, 2014
  • INFORMS Behavioral Operations Section, Best Working Paper Award, Inaugural Committee chair, 2013, Committee member, 2014.
  • POM Best Reviewer Award, 2013
  • Conference co-chair: POMS College of Sustainable Operations Mini-Conference, April 2012
  • Conference chair: 5th Annual Behavioral Operations Conference, June 2010
  • NSF grants review panel in Manufacturing and Services Enterprise Systems: 2010, 2011
  • Session chair, INFORMS 2009, 12-16, EURO 2015, POMS 2012-16, CORS 2016
  • Cluster/Track char: INFORMS 2014, POMS 2015, CORS 2016
  • Ad-hoc reviewer for MS, OR, MSOM, POM, EJOR, IEEE, JOM, DS, Interfaces
  • Judge, INFOMRS 2006 Case Competition, MSOM Student Paper Competition (2013 – present),
  • POM Student Paper Competition (2016 – present), BOM Best working paper award (2013 – present)